SAS DI

Why Should You Take

SAS DI

SAS Data Integration Studio (SAS DI) is ETL tool. It provides a powerful visual design for building, implementing and managing data integration processes regardless of data sources, applications, or platforms. To learn this tool Base and Advance SAS knowledge is key. SAS DI is  easy-to-manage, drag and drop tool it’s easily display, visualize, and understand enterprise metadata and processes.
Creation and management of data and metadata are improved with extensive impact analysis of potential changes made across all data integration processes.

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COURSE CONTENT:

OVERVIEW:

  • Define the architecture of the platform for SAS Business Analytics

  • Describe the available interfaces

  • Define the change management feature of SAS Data Integration Studio.

WORKING WITH TRANSFORMATIONS:

  • Discuss and use the Extract and Summary Statistics transformation

  • Discuss and use the Loop Transformations

  • Investigate where status handling is available

  • Discuss and use the Data Validation transformation

  • Discuss and use the Rank, Transpose, Append, List and Sort transformations

  • Discuss and use the Apply Lookup Standardization transformation

  • Define the Concept of a Checkpoint.

DEFINING GENERATED TRANSFORMATIONS:

  • Define SAS code transformation templates

  • Create a custom transformation

CREATING METADATA FOR SOURCE AND TARGET DATA:

  • Define administrative tasks to be performed for SAS Data Integration Studio

  • Describe the New Library Wizard

  • Use Register Tables wizard to register source data

  • Use Register Tables wizard to register metadata for a Microsoft Access database table using ODBC 

  • Register metadata for a comma-delimited external file

  • Import and Export Metadata.

WORKING WITH TABLES AND THE TABLE LOADER TRANSFORMATION:

  • Discuss reasons to use the Table Loader transformation

  • Discuss various load styles provided by the Table Loader transformation

  • Discuss various types of keys and how to define in SAS Data Integration Studio

  • Discuss indexes and how to define in SAS Data Integration Studio

  • Discuss Table Loader options for keys and indexes.

CREATING METADATA FOR TARGET DATA AND JOBS:

  • Describe features of the New Tables wizard

  • Discuss SAS packages

  • Discuss importing and exporting of relational metadata

  • Discuss components of SQL Join’s Designer window

  • Investigate mapping and propagation

  • Work with performance statistics

  • Generate reports on metadata for tables and jobs

  • Define Impact and Reverse Impact Analysis.

WORKING WITH SLOWLY CHANGING DIMENSIONS:

  • List the functions of the SCD Type 2, SCD Type 1 transformation

  • Define business keys

  • Define surrogate and retained keys.  Detect and track changes

  • Discuss the Lookup transformation.

SUPPORT

  • Study material: Notes and Books

  • Daily assignments with respect to chapter for hands on experience

  • Interview preparation

  • Resume preparation help

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